Senior Technical Marketing Engineer: AI-Driven CDN

Akamai Technologies, Inc.; Santa Fe (NM); On-site; USD 120,000 - 215,000; Full time

Job summary

Akamai Technologies, Inc. in the United States seeks a Senior Technical Marketing Engineer for Distributed Networking, Content Delivery, and AI to validate Akamai's delivery and performance claims with live traffic and real-world use cases.

You will build, benchmark, and demonstrate on the platform, then translate learnings into technical content for engineers, architects, and technical decision makers, shaping Akamai's AI storytelling.

Qualifications

• Have 6 years of relevant experience in technical marketing, solutions or sales engineering, network engineering, cloud infrastructure, CDN, content delivery, networking, edge, AI infrastructure or adjacent technologies, and a Bachelor's degree in a technical field or its equivalent.
• Be genuinely hands-on with the delivery stack: HTTP/2 and HTTP/3, QUIC, TLS, DNS, caching, routing and peering fundamentals, APIs, and the tooling used to measure them, with working scripting or automation skills.
• Understand modern application architectures and have an interest in how AI applications change traffic patterns, infrastructure requirements, and the relationship between applications, models, networks, and users.
• Be comfortable working with AI APIs and concepts such as inference, tokens, streaming responses, model endpoints, and agents.
• Have direct experience building or operating AI infrastructure.
• Have designed and run performance benchmarks with a methodology you can defend publicly, and know the difference between a result and a cherry-pick.
• Have built demos and reference architectures that technical audiences used and trusted.
• Be comfortable engaging network engineers on peering, route optimization, performance, and post quantum cryptography, while also being able to work with developers and architects building modern and AI-powered applications.

Responsibilities

• Implementing Akamai delivery and performance products hands-on, building and maintaining live configurations and demo environments that show real capabilities on real traffic, including emerging AI application patterns.
• Designing and running reproducible benchmarking with documented, defensible methodology to substantiate Akamai's performance advantages with evidence, including evaluating latency, thorughput, routing, and cost considerations for AI traffic.
• Building reference architectures and demos for modern applications and AI workloads, including AI inference APIs, streaming responses, agent interactions, and globally distributed applications.
• Owning the technical answer to what makes Akamai's distributed network and content delivery platform genuinely differentiated, and how those capabilities apply as AI changes internet traffic and application architectures.
• Working directly with engineering to build deep knowledge of network optimization, carrier and telco peering, route optimization, post quantum cryptography, developer experience, performance, and the networking patterns emerging and around AI inference and agents.
• Exploring how AI traffic behaves across distributed infrastructure and translating those findings into practical guidance for customers, developers, architects, and Akamai field teams.
• Producing a consistent cadence of technical thought leadership, including deep-dive blogs, benchmark reports, reference architectures, conference talks, and demos, timed to global and industry events so Akamai shows up with proof when the market is paying attention.
• Partnering with product marketing to ground positioning, messaging, competitive content, and Akamai's evolving AI story in technically reality.

Job description

Akamai Technologies, Inc. in the United States seeks a Senior Technical Marketing Engineer for Distributed Networking, Content Delivery, and AI to validate Akamai's delivery and performance claims with live traffic and real-world use cases.

You will build, benchmark, and demonstrate on the platform, then translate learnings into technical content for engineers, architects, and technical decision makers, shaping Akamai's AI storytelling.